System and method for proximate vehicle intention prediction for autonomous vehicles

    公开(公告)号:US11104334B2

    公开(公告)日:2021-08-31

    申请号:US15994138

    申请日:2018-05-31

    Applicant: TuSimple, Inc.

    Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.

    SYSTEM AND METHOD FOR PATH PLANNING OF AUTONOMOUS VEHICLES BASED ON GRADIENT

    公开(公告)号:US20200298863A1

    公开(公告)日:2020-09-24

    申请号:US16900611

    申请日:2020-06-12

    Applicant: TUSIMPLE, INC.

    Inventor: Wutu LIN Xiaodi Hou

    Abstract: A system and method for path planning of autonomous vehicles based on gradient are disclosed. A particular embodiment includes: generating and scoring a first suggested trajectory for an autonomous vehicle; generating a trajectory gradient based on the first suggested trajectory; generating and scoring a second suggested trajectory for the autonomous vehicle, the second suggested trajectory being based on the first suggested trajectory and a human driving model; and outputting the second suggested trajectory if the score corresponding to the second suggested trajectory is within a score differential threshold relative to the score corresponding to the first suggested trajectory.

    Verification module system and method for motion-based lane detection with multiple sensors

    公开(公告)号:US11874130B2

    公开(公告)日:2024-01-16

    申请号:US18158974

    申请日:2023-01-24

    Applicant: TuSimple, Inc.

    Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

    System and method for vehicle position and velocity estimation based on camera and LIDAR data

    公开(公告)号:US11557128B2

    公开(公告)日:2023-01-17

    申请号:US16752637

    申请日:2020-01-25

    Applicant: TuSimple, Inc.

    Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed. A particular embodiment includes: receiving input object data from a subsystem of an autonomous vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device; determining a two-dimensional (2D) position of a proximate object near the autonomous vehicle using the image data received from the image generating device; tracking a three-dimensional (3D) position of the proximate object using the distance data received from the distance measuring device over a plurality of cycles and generating tracking data; determining a 3D position of the proximate object using the 2D position, the distance data received from the distance measuring device, and the tracking data; determining a velocity of the proximate object using the 3D position and the tracking data; and outputting the 3D position and velocity of the proximate object relative to the autonomous vehicle.

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